Pandas version checks
Reproducible Example
>>> import pandas as pd
>>> x = pd.Series(["abc"])
>>> x.str[0]
0 a
dtype: str
>>> x_converted = x.convert_dtypes(dtype_backend="pyarrow")
>>> x_converted.str[0]
Traceback (most recent call last):
File "<python-input-4>", line 1, in <module>
x_converted.str[0]
~~~~~~~~~~~~~~~^^^
File "...\pandas\core\strings\accessor.py", line 254, in __getitem__
result = self._data.array._str_getitem(key)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: 'ArrowExtensionArray' object has no attribute '_str_getitem'. Did you mean: '_str_istitle'?
Issue Description
When using .convert_dtypes(dtype_backend="pyarrow"), the underlying array of string types is an ArrowExtensionArray. Previously, this class inherited string methods from ArrowStringArrayMixin and BaseStringArrayMethods. However, in 3.0.0, that was changed to remove BaseStringArrayMethods (#62155).
Unfortunately, BaseStringArrayMethods does not have full parity with ArrowStringArrayMixin. I did a quick search of the other differences, and _str_getitem appears to be the only difference that causes this problem.
I think ArrowStringArrayMixin or ArrowExtensionArray should implement the _str_getitem method, though another solution would be to have .convert_dtypes(dtype_backend="pyarrow") to produce an ArrayStringArray instead of an ArrowExtensionArray for string columns. I'm not familiar enough with the details of these types to know why we would prefer the latter.
Expected Behavior
x.str[0] works for any string-typed x
Installed Versions
Details
INSTALLED VERSIONS
commit : ab90747
python : 3.13.9
python-bits : 64
OS : Windows
OS-release : 11
Version :
machine :
processor :
byteorder : little
LC_ALL : None
LANG : None
LOCALE :
pandas : 3.0.2
numpy : 2.4.4
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
psycopg2 : None
pymysql : None
pyarrow : 23.0.1
pyiceberg : None
pyreadstat : None
pytest : None
python-calamine : None
pytz : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
qtpy : None
pyqt5 : None
Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
When using
.convert_dtypes(dtype_backend="pyarrow"), the underlying array of string types is anArrowExtensionArray. Previously, this class inherited string methods fromArrowStringArrayMixinandBaseStringArrayMethods. However, in 3.0.0, that was changed to removeBaseStringArrayMethods(#62155).Unfortunately,
BaseStringArrayMethodsdoes not have full parity withArrowStringArrayMixin. I did a quick search of the other differences, and_str_getitemappears to be the only difference that causes this problem.I think
ArrowStringArrayMixinorArrowExtensionArrayshould implement the_str_getitemmethod, though another solution would be to have.convert_dtypes(dtype_backend="pyarrow")to produce anArrayStringArrayinstead of anArrowExtensionArrayfor string columns. I'm not familiar enough with the details of these types to know why we would prefer the latter.Expected Behavior
x.str[0]works for any string-typedxInstalled Versions
Details
INSTALLED VERSIONS
commit : ab90747
python : 3.13.9
python-bits : 64
OS : Windows
OS-release : 11
Version :
machine :
processor :
byteorder : little
LC_ALL : None
LANG : None
LOCALE :
pandas : 3.0.2
numpy : 2.4.4
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
psycopg2 : None
pymysql : None
pyarrow : 23.0.1
pyiceberg : None
pyreadstat : None
pytest : None
python-calamine : None
pytz : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
qtpy : None
pyqt5 : None